evorAI
Evolving behavioural insight through AI.
Turn insights into action.
Valuable insights are buried in vast amounts of text, making them slow and costly to uncover.
evorAI combines public online data collection with AI analysis grounded in behavioural science. It analyses free-text data from social media posts, surveys and interviews *20 times faster than a manual approach, revealing barriers and motivations that can inform the design of services, products and communications.
*Based on a comparative analysis of time estimates.
How evorAI works
evorAI’s AI agent helps teams explore what findings could mean in practice using established behavioural science frameworks.
Step 1Upload your data
Upload free text data from public online discussions and other sources.
Decode behaviour
evorAI maps data to leading behavioural science frameworks.
Step 2Turn insight into action
The agent translates findings into practical strategies and useful outputs, such as communications, service improvements and intervention ideas.
Step 3Understanding what drives healthy habits.
evorAI analysed employees’ free-text feedback to understand what helped and hindered their health goals. Environmental barriers related to work pressures, limited time and disrupted routines featured more strongly than a lack of knowledge.
Using the COM-B framework, evorAI identified physical opportunity and automatic motivation as the strongest patterns in comments about barriers. EvorAI also identified what helped employees stay on track: support from others, planning, established routines and reminders. These findings give teams specific factors to consider when designing support.
Case study: Holland & Barrett
